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A Review on Explainability in Multimodal Deep Neural Nets
IEEE Access (IEEE Access), 2021
17 May 2021
Gargi Joshi
Rahee Walambe
K. Kotecha
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Papers citing
"A Review on Explainability in Multimodal Deep Neural Nets"
45 / 45 papers shown
Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model
Shinnosuke Hirano
Yuiga Wada
T. Iida
Komei Sugiura
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18 Sep 2025
Can Multitask Learning Enhance Model Explainability?
Hiba Najjar
Bushra Alshbib
A. Dengel
97
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09 Aug 2025
Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance
Fengze Yang
Bo Yu
Yang Zhou
Xuewen Luo
Zhengzhong Tu
Chenxi Liu
280
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01 Aug 2025
Fixed Point Explainability
Emanuele La Malfa
Jon Vadillo
Marco Molinari
Michael Wooldridge
421
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18 May 2025
A Step towards Interpretable Multimodal AI Models with MultiFIX
Mafalda Malafaia
Thalea Schlender
Tanja Alderliesten
Peter A. N. Bosman
179
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16 May 2025
Multi-modal biometric authentication: Leveraging shared layer architectures for enhanced security
IEEE Access (IEEE Access), 2024
Vatchala S
Yogesh C
Yeshwanth Govindarajan
Krithik Raja M
Vishal Pramav Amirtha Ganesan
Aashish Vinod A
Dharun Ramesh
224
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04 Nov 2024
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities
Kenza Amara
Lukas Klein
Carsten T. Lüth
Paul Jäger
Hendrik Strobelt
Mennatallah El-Assady
182
3
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02 Oct 2024
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
Zhicheng Ren
Zhiping Xiao
Luke Huan
273
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04 Sep 2024
MicroXercise: A Micro-Level Comparative and Explainable System for Remote Physical Therapy
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2024
Hanchen David Wang
Nibraas Khan
Anna Chen
Nilanjan Sarkar
Pamela Wisniewski
Meiyi Ma
169
2
0
06 Aug 2024
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Image and Vision Computing (IVC), 2024
V. Guarrasi
Fatih Aksu
Camillo Maria Caruso
Francesco Di Feola
Aurora Rofena
Filippo Ruffini
Paolo Soda
OffRL
MedIm
AI4CE
192
53
0
02 Aug 2024
Fairness and Bias in Multimodal AI: A Survey
Tosin Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
344
23
0
27 Jun 2024
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
555
21
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08 Feb 2024
Review of multimodal machine learning approaches in healthcare
"Felix H. Krones
Umar Marikkar
Guy Parsons
Adam Szmul
Adam Mahdi
366
96
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04 Feb 2024
CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification
European Conference on Information Retrieval (ECIR), 2024
Shubham Gupta
Nandini Saini
Suman Kundu
Debasis Das
269
10
0
11 Jan 2024
Large Language Models in Law: A Survey
AI Open (AO), 2023
Jinqi Lai
Wensheng Gan
Jiayang Wu
Zhenlian Qi
Philip S. Yu
ELM
AILaw
308
176
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26 Nov 2023
NERIF: GPT-4V for Automatic Scoring of Drawn Models
Gyeong-Geon Lee
Xiaoming Zhai
308
13
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21 Nov 2023
Enhancing the machine vision performance with multi-spectral light sources
Feng Zhang
Rui Bao
Congqi Dai
Wanlu Zhang
Shu Liu
R. Guo
165
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0
20 Oct 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks
Neural Information Processing Systems (NeurIPS), 2023
Vinitra Swamy
Malika Satayeva
Jibril Frej
Thierry Bossy
Thijs Vogels
Martin Jaggi
Tanja Käser
Mary-Anne Hartley
238
20
0
25 Sep 2023
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP
Vedant Palit
Rohan Pandey
Aryaman Arora
Paul Pu Liang
268
46
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27 Aug 2023
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
International Conference on Language Resources and Evaluation (LREC), 2023
Yosuke Miyanishi
Minh Le Nguyen
349
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19 Aug 2023
Explainable Multi-View Deep Networks Methodology for Experimental Physics
Nadav Schneider
Muriel Tzdaka
G. Sturm
Guy Lazovski
G. Bar
G. Oren
R. Gvishi
Gal Oren
188
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16 Aug 2023
Impact of Feature Encoding on Malware Classification Explainability
European Conference on Artificial Intelligence (ECAI), 2023
E. Manai
M. Mejri
Jaouhar Fattahi
150
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0
10 Jul 2023
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
Interacción (HCI), 2023
Sabine Theis
Sophie F. Jentzsch
Fotini Deligiannaki
C. Berro
A. Raulf
C. Bruder
189
14
0
27 Jun 2023
Employing Multimodal Machine Learning for Stress Detection
Journal of Healthcare Engineering (J Healthc Eng), 2021
Rahee Walambe
Pranav Nayak
Ashmit Bhardwaj
K. Kotecha
166
54
0
15 Jun 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
IEEE Access (IEEE Access), 2023
N. Rodis
Christos Sardianos
Panagiotis I. Radoglou-Grammatikis
Panagiotis G. Sarigiannidis
Iraklis Varlamis
Georgios Th. Papadopoulos
335
40
0
09 Jun 2023
IMAD: IMage-Augmented multi-modal Dialogue
Journal of Mathematical Sciences (J. Math. Sci.), 2023
Viktor Moskvoretskii
Anton Frolov
Denis Kuznetsov
171
6
0
17 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Patterns (Patterns), 2023
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
260
23
0
10 May 2023
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models
Sixia Li
S. Okada
338
5
0
07 May 2023
Diagnosing and Rectifying Vision Models using Language
International Conference on Learning Representations (ICLR), 2023
Yuhui Zhang
Jeff Z. HaoChen
Shih-Cheng Huang
Kuan-Chieh Wang
James Zou
Serena Yeung
216
61
0
08 Feb 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
Pattern Recognition (Pattern Recogn.), 2022
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
267
33
0
28 Dec 2022
Manifestations of Xenophobia in AI Systems
Ai & Society (AS), 2022
Nenad Tomašev
J. L. Maynard
Iason Gabriel
405
11
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15 Dec 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAI
FAtt
AAML
268
9
0
09 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
362
164
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20 Oct 2022
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Yuhao Chen
Hayden Gunraj
E. Z. Zeng
Robbie Meyer
Maximilian Gilles
Alexander Wong
220
3
0
19 Oct 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques
Yannik Mahlau
Christian Nolde
FAtt
317
1
0
04 Jul 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Jinyin Chen
Chengyu Jia
Haibin Zheng
Ruoxi Chen
Chenbo Fu
AAML
206
18
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17 Jun 2022
Improving Multimodal Speech Recognition by Data Augmentation and Speech Representations
Dan Oneaţă
H. Cucu
121
24
0
27 Apr 2022
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
Computers in Biology and Medicine (Comput Biol Med), 2022
V. Guarrasi
Paolo Soda
124
30
0
07 Apr 2022
Explainable Misinformation Detection Across Multiple Social Media Platforms
IEEE Access (IEEE Access), 2022
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
265
26
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20 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation
Frontiers in Materials (Front. Mater.), 2022
Yu Yao
C. Cao
S. Haas
Mahak Agarwal
Divya Khanna
M. Abram
250
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19 Mar 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
616
569
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20 Jan 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Knowledge-Based Systems (KBS), 2021
Waddah Saeed
C. Omlin
XAI
278
583
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11 Nov 2021
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
Eduardo Conde-Sousa
João Vale
Ming Feng
Kele Xu
Yin Wang
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Guilherme Aresta
Teresa Araújo
Paulo Aguiar
C. Eloy
A. Polónia
162
40
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08 Nov 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Information Fusion (Inf. Fusion), 2021
Anil Rahate
Rahee Walambe
S. Ramanna
K. Kotecha
399
176
0
29 Jul 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.5K
19,805
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16 Feb 2016
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